Abhrajit Chakraborty

I’m a final-year Information Technology student with hands-on experience building full-stack web applications, browser extensions, and CRM integrations. I bring a consistent focus on shipping functional, high-quality solutions, backed by strong technical breadth across frontend, backend, databases, and AI/ML.

In my internship at Dreamer Technologies, I developed lead-capture workflows and CRM data synchronization features using Angular, JavaScript, and SugarCRM with MySQL and REST APIs. I also built a Chrome Extension (Manifest V3) leveraging WebRTC for WhatsApp Web automation, including authentication handling and cross-application data sync, while running end-to-end testing across business applications to ensure reliability.

My projects reflect how I translate ideas into working systems. I built a real-time sign language recognition application using deep learning with landmark tracking, smoothing to remove flickering, and TFLite deployment for fast inference; I also contributed to brain tumor segmentation research using PyTorch, MONAI, and Swin-UNETR. Alongside that, I designed and deployed client-facing products like a responsive business website optimized for local SEO and a MERN hospital bed management dashboard for real-time updates.